#cplusplus#arm#convolution#deep_learning#embedded_devices#llm#machine_learning#ml#mnn#transformer#vulkan#winograd_algorithm
MNN is a lightweight and efficient deep learning framework that helps run AI models on mobile devices and other small devices. It supports many types of AI models and can handle tasks like image recognition and language processing quickly and locally on your device. This means you can use AI features without needing to send data to the cloud, which improves privacy and speed. MNN is used in many apps, including those from Alibaba, and supports various platforms like Android and iOS. It also helps reduce the size of AI models, making them faster and more efficient.
https://github.com/alibaba/MNN
#FLM/USDT analysis :
#FLM is forming higher highs (HHs) and higher lows (HLs) along the trendline support. The price has recently swept through the swing low stop losses and is now expected to move upward, resuming its bullish direction to test the swing high resistance level.
TF : 2H
Entry : $0.0423
Target : $0.0445
SL : $0.0409
#FLM/USDT analysis :
#FLM is currently in a bearish trend on the higher time frame. A retracement towards the 200 EMA is anticipated as the price forms a higher high structure. It is expected to move upward and test previous highs.
TF : 1H
Entry : $0.0584
Target : $0.0636
SL : $0.0560
#FLM/USDT analysis :
#FLM is currently in a downtrend, trading below the 200 EMA. The price is consolidating sideways within a support and resistance zone. It is currently facing rejection at the resistance zone and is expected to decline from this point, testing the support zone.
TF : 1D
Entry : $0.0620
Target : $0.0500
SL : $0.0700
#FLM🧐
👉EMA Confluence
👉Failure Swing
👉MACD
The second chart fully and automatically generated by our algorithm.
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